Enables natural-language management of calendar events, notes, and scanned or photographed documents through a ReAct agent that schedules and reschedules events, detects scheduling conflicts, and searches notes with hybrid vector plus keyword retrieval. It also ingests visual documents via an OCR/CNN vision worker, stores long-term agent facts, and synthesizes cross-context summaries.
Enables agents to capture, shape, schedule, search, and retire tasks, deadlines, calendar events, and recurring commitments through twelve intent-shaped tools backed by a single unified SQLite model. Every call returns structured, discriminated results with next-step hints instead of thrown exceptions or ambiguous prose.
Enables AI assistants to apply productivity-system presets such as GTD, Kanban, Scrum, PARA, and OKR by capturing, querying, updating, completing, and planning tasks with enforced workflows, stored locally in a SQLite file the user owns. It also provides deterministic completion and plan metrics plus an offline HTML report, with no cloud service, account, embedded LLM, or API key required.
Enables personal AI agents to synthesize proactive daily agendas and cognitive briefings, orchestrating circadian energy focus blocks, asynchronous task triage, and meeting preparation. It runs as a zero-dependency MCP server exposing these scheduling capabilities over JSON-RPC stdio.